End-to-end reproducible AI pipelines in radiology using the cloud
Artificial intelligence (AI) algorithms hold the potential to revolutionize radiology. However, a
significant portion of the published literature lacks transparency and reproducibility, which …
significant portion of the published literature lacks transparency and reproducibility, which …
Foundation Models in Radiology: What, How, When, Why and Why Not
Recent advances in artificial intelligence have witnessed the emergence of large-scale deep
learning models capable of interpreting and generating both textual and imaging data. Such …
learning models capable of interpreting and generating both textual and imaging data. Such …
A Comprehensive Survey of Foundation Models in Medicine
Foundation models (FMs) are large-scale deep-learning models trained on extensive
datasets using self-supervised techniques. These models serve as a base for various …
datasets using self-supervised techniques. These models serve as a base for various …
Machine learning enabled prediction of digital biomarkers from whole slide histopathology images
Current predictive biomarkers generally leverage technologies such as immunohis-
tochemistry or genetic analysis, which may require specialized equipment, be time-intensive …
tochemistry or genetic analysis, which may require specialized equipment, be time-intensive …
Prognostic value of FDX1, the cuprotosis key gene, and its prediction models across imaging modalities and histology
Background Cuprotosis has been identified as a novel way of cell death. The key regulator
ferredoxin 1 (FDX1) was explored via pan-cancer analysis, and its prediction models were …
ferredoxin 1 (FDX1) was explored via pan-cancer analysis, and its prediction models were …